111 citations · 115 across the 9 of their papers we have counts for
9 papers
The Design and Composition of Structural Causal Decision Processes
Sebastian Benthall, Alan Lujan
We present two new classes of causal models of decision-making agents. Our approach is motivated by the needs of modeling the economics of computing systems. These systems are comp…
Separable Pathways for Causal Reasoning: How Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
John Alderete, Sebastian Benthall, Connie Xu +1
Causal discovery through experimentation and intervention is fundamental to robust problem solving. It requires not just updating beliefs within a fixed framework but revising the…
Validity Is What You Need
Sebastian Benthall, Andrew Clark
While AI agents have long been discussed and studied in computer science, today's Agentic AI systems are something new. We consider other definitions of Agentic AI and propose a ne…
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
Zeda Xu, John Liechty, Sebastian Benthall +2
Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investm…
Integrating Differential Privacy and Contextual Integrity
Sebastian Benthall, Rachel Cummings
In this work, we propose the first framework for integrating Differential Privacy (DP) and Contextual Integrity (CI). DP is a property of an algorithm that injects statistical nois…
Designing Fiduciary Artificial Intelligence
Sebastian Benthall, David Shekman
A fiduciary is a trusted agent that has the legal duty to act with loyalty and care towards a principal that employs them. When fiduciary organizations interact with users through…
Racial categories in machine learning
Sebastian Benthall, Bruce D. Haynes
Controversies around race and machine learning have sparked debate among computer scientists over how to design machine learning systems that guarantee fairness. These debates rare…
Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument
Sebastian Benthall
In recent years prominent intellectuals have raised ethical concerns about the consequences of artificial intelligence. One concern is that an autonomous agent might modify itself…
Computational Asymmetry in Strategic Bayesian Networks
Sebastian Benthall, John Chuang
Among the strategic choices made by today's economic actors are choices about algorithms and computational resources. Different access to computational resources may result in a ki…